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Record W2462275976 · doi:10.1016/j.pt.2016.06.002

Microsporidia–Emergent Pathogens in the Global Food Chain (Trends in Parasitology 32, 336–348; April 2, 2016)

2016· erratum· en· W2462275976 on OpenAlexfundno aff
Grant D. Stentiford, James J. Becnel, Louis M. Weiss, Patrick J. Keeling, Elizabeth S. Didier, Ben Williams, S. Bjørnson, ML Kent, Mark Freeman, Mark J. F. Brown, Emily R. Troemel, Kristina Roesel, Yuliya Y. Sokolova, Karen F. Snowden, Leellen F. Solter

Bibliographic record

VenueTrends in Parasitology · 2016
Typeerratum
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesUniversity of British Columbia
KeywordsMicrosporidiaFood chainAgricultureFood securityFood processingPolitical scienceLibrary scienceBiologyEcologyLaw

Abstract

fetched live from OpenAlex

In the review ‘Microsporidia–Emergent Pathogens in the Global Food Chain’ by G.D. Stentiford and colleagues, which was published in the April 2016 issue of Trends in Parasitology, the Acknowledgments section should read as follows.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.343
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations38
Published2016
Admission routes1
Has abstractyes

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